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视觉边界线索足以在虚拟现实中锚定位置和栅格细胞。

Visual boundary cues suffice to anchor place and grid cells in virtual reality.

机构信息

School of Biological and Behavioural Sciences, Queen Mary University of London, 327 Mile End Road, London E1 4NS, UK.

Department of Neuroscience, Physiology, and Pharmacology, University College London, Gower Street, London WC1E 6BT, UK.

出版信息

Curr Biol. 2024 May 20;34(10):2256-2264.e3. doi: 10.1016/j.cub.2024.04.026. Epub 2024 May 2.

Abstract

The hippocampal formation contains neurons responsive to an animal's current location and orientation, which together provide the organism with a neural map of space. Spatially tuned neurons rely on external landmark cues and internally generated movement information to estimate position. An important class of landmark cue are the boundaries delimiting an environment, which can define place cell field position and stabilize grid cell firing. However, the precise nature of the sensory information used to detect boundaries remains unknown. We used 2-dimensional virtual reality (VR) to show that visual cues from elevated walls surrounding the environment are both sufficient and necessary to stabilize place and grid cell responses in VR, when only visual and self-motion cues are available. By contrast, flat boundaries formed by the edges of a textured floor did not stabilize place and grid cells, indicating only specific forms of visual boundary stabilize hippocampal spatial firing. Unstable grid cells retain internally coherent, hexagonally arranged firing fields, but these fields "drift" with respect to the virtual environment over periods >5 s. Optic flow from a virtual floor does not slow drift dynamics, emphasizing the importance of boundary-related visual information. Surprisingly, place fields are more stable close to boundaries even with floor and wall cues removed, suggesting invisible boundaries are inferred using the motion of a discrete, separate cue (a beacon signaling reward location). Subsets of place cells show allocentric directional tuning toward the beacon, with strength of tuning correlating with place field stability when boundaries are removed.

摘要

海马结构包含对动物当前位置和方向有反应的神经元,这些神经元共同为生物体提供了空间的神经图谱。空间调谐神经元依赖于外部地标线索和内部产生的运动信息来估计位置。一类重要的地标线索是界定环境的边界,它可以确定位置细胞的场位置并稳定网格细胞的放电。然而,用于检测边界的感觉信息的确切性质仍不清楚。我们使用二维虚拟现实 (VR) 表明,当只有视觉和自身运动线索可用时,来自环绕环境的高架墙壁的视觉线索既足以稳定 VR 中的位置和网格细胞反应,也是必需的。相比之下,由纹理地板边缘形成的平坦边界不能稳定位置和网格细胞,这表明只有特定形式的视觉边界才能稳定海马体的空间放电。不稳定的网格细胞保留内部连贯的、六边形排列的放电场,但这些场相对于虚拟环境在 >5 秒的时间内“漂移”。来自虚拟地板的光流不会减缓漂移动力学,这强调了与边界相关的视觉信息的重要性。令人惊讶的是,即使去除地板和墙壁线索,靠近边界的位置场也更稳定,这表明使用离散的、单独的线索(指示奖励位置的信标)推断出看不见的边界。位置细胞的子集表现出对信标的无方向方向调谐,当去除边界时,调谐强度与位置场稳定性相关。

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